Course Flowsheets

These interactive guides provide a semester-by-semester outline of the courses within a curriculum in a "flowsheet" format. The flowsheets enable students and advisors to visualize the pre-, co-, and post-requisites associated with a course. This tool provides a means for students to understand how courses within a curriculum are linked and provides guidance regarding course scheduling.

The effective academic year (AY) refers to the academic year a student is admitted to the major. Academic years listed with a red font represent years in which a curriculum revision was implemented. Please see the Undergraduate Catalog for detailed information regarding effective academic years.

Students can obtain the requirement term (map to effective academic year) associated with their major through the SEAS Portal.

If you have any issues using the flowsheets tool or need assistance, please contact the SEAS Office of Academic Affairs to meet with an academic advisor.

Plan:

Effective Academic Year:

Flowsheet for First Year
Flowsheet for First Year
Flowsheet for Transfer Students
Seamless Transfer

Freshmen Flowsheet for Computer Science BA
(Effective AY 2016-17 to AY 2017-18)

First Year		Second Year		Third Year		Fourth Year
Fall	Spring	Fall	Spring	Fall	Spring	Fall	Spring
MTH 121 or MTH 131 or MTH 141 MTH 121LR Surv Calculus & Appl 1 Lecture For students in social, biological, and management sciences. Limits, continuity, differentiation of algebraic and exponential functions; applications; introduces integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req: 70/100 or better on both Fundamentals & Algebra parts of the Math Readiness Assessment, or C or better in ULC148, MTH 108, MTH 113, MTH 114 MTH 115, a D or better in MTH 121, MTH 131, or MTH 141 or 3 on AP Calculus or 4 or 5 on AP Pre-Calculus. MTH 131LR Math Analysis for Managemt Lecture For students in Management. Limits, continuity, differentiation of algebraic and exponential functions. Applications, partial derivatives and applications. Introduces integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req: 70/100 or better on both Fundamentals & Algebra parts of the Math Readiness Assessment, or C or better in ULC148, MTH 108, MTH 113, MTH 114 MTH 115, a D or better in MTH 121, MTH 131, or MTH 141 or 3 on AP Calculus or 4 or 5 on AP Pre-Calculus. MTH 141LR College Calculus 1 Lecture Beginning of a three-semester sequence in calculus for students of mathematics, natural sciences, and engineering. Covers differentiation and integration with applications. This course is the same as MTH 136 + 137 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req:70+ all parts of MRA, or C or better in ULC148, MTH108, 114, 115, 121, 131, D or better in MTH141, 3 on AP Calc or 4-5 on AP Pre-Calc or concurrent reg in MTH109 with C or better in MTH113 or MRA scores 70+ Math Fund AND Alg and 50-69 in Trig Calculus 1 CSE 115 CSE 115LLR Computer Science I Lecture Provides the fundamentals of computer science with an emphasis on applying programming skills to solve problems and increase human efficiency. Topics include variables, data types, expressions, control flow, functions, input/output, data storage, networking, security, selection, sorting, iteration and the use of aggregate data structures such as lists and more general collections. No previous programming experience required. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Computer Science 1 CSE 199 CSE 199SR UB Seminar Seminar The three credit UB Seminar is focused on a big idea or challenging issue to engage students with questions of significance in a field of study and, ultimately, to connect their studies with issues of consequence in the wider world. Essential to the UB Curriculum, the Seminar helps students with common learning outcomes focused on fundamental expectations for critical thinking, ethical reasoning, and oral communication, and learning at a university, all within topic focused subject matter. The Seminars provide students with an early connection to UB faculty and the undergraduate experience at a comprehensive, research university. This course is equivalent to any 199 offered in any subject. Credit: 3 Grading: Graded (GRD) Typically Offered: Fall Other Requisites: Students who have already successfully completed the first year seminar course may not repeat this course. If you have any questions regarding enrollment for this course, please contact your academic advisor. First-Year Seminar ENG 105 ENG 105LEC Writing and Rhetoric Lecture An introduction to research, writing, and rhetorical practices employed in academic and professional contexts. The course examines the operation of genres, the audiences they address, and the purposes they serve. The course focuses on the analysis and development of student writing and rhetorical practice. Assignments include research essays, digital compositions, and oral presentations. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: ENG 105 non-Z Requisite Communication Literacy 1	MTH 122 or MTH 142 MTH 122LR Surv Calculus & Appl 2 Lecture Continuation of MTH 121. Maximization of functions of several variables using both calculus and elementary linear programming techniques. Elementary integration, simple differential equations, matrix algebra. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Requisite: MTH 121 or MTH 141 or MTH 136 and MTH 137. MTH 142LR College Calculus 2 Lecture Differentiation and integration of transcendental functions; infinite sequences; series and power series; integration methods; additional topics in analytic geometry.. This course is the same as MTH 138 and MTH 139 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Requisite: MTH 141 or MTH 136 with MTH 137 as a co-requisite; Anti-Requisite MTH 138/139. Calculus 2 CSE 116 CSE 116LLB Computer Science II Lecture Students will continue to develop the skills introduced in CSE115 while exploring the details of program execution and the structure of large programs. Emphasizes design decisions that affect the efficiency, expandability, and maintainability of code while analyzing the differences amongst a variety of approaches. Design decisions analyzed include choice of data structures and object-oriented techniques such as encapsulation, polymorphism, and inheritance. Additional topics include the use of recursion, multithreading, parallelism, hardware, graph and tree traversals, asymptotic analysis, divide and conquer, databases, testing, and multi-language integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 115 or EAS 230 or EAS 240 or EAS 999TRCP. Computer Science 2 CSE 191 CSE 191LR Intro Discrete Structures Lecture Foundational material for further studies in computer science. Topics include logic, proofs, sets, functions, relations, recursion, recurrence relations, mathematical induction, graphs, trees, basic counting theory, regular languages, and context free grammars. This course is the same as MTH 191 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 115 or EAS 230 or EAS 240 or EAS 999TRCP, and Pre-calculus (MTH 115 or ULC 148 or MTH 113 or MTH 114) or appropriate math placement test scores or Co-Requisite of Calculus 1 (MTH 121 or MTH 131 or MTH 141, or MTH 136 or MTH 108). Discrete Structures Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	CSE 241 CSE 241LLB Digital Systems Lecture A course in digital principles which includes the following topics: fundamentals of digital logic, number systems, codes, computer arithmetic, Boolean algebra, minimization techniques, basic components of digital circuits such as logic gates and flip-flops, design of combinational and sequential circuits, memory devices, and programming logic. Recommended for sophomore-level students. Credit: 4 Grading: Graded (GRD) Typically Offered: Spring, Summer Other Requisites: Pre-Requisites: Engineering Majors, Computer Science Minors, or Computing and Applied Math Majors only Digital Systems CSE 250 CSE 250LR Data Structures Lecture Provides a rigorous analysis of the design, implementation, and properties of advanced data structures. Topics include time-space analysis and tradeoffs in arrays, vectors, lists, stacks, queues, and heaps; tree and graph algorithms and traversals, hashing, sorting, and data structures on secondary storage. Surveys library implementations of basic data structures in a high-level language. Advanced data structure implementations are studied in detail. Illustrates the importance of choosing appropriate data structures when solving a problem by programming projects in a high-level language. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 116 and (CSE 191 or MTH 311) and (MTH 141 or MTH 131 or MTH 121 or MTH 137). Engineering, Bioinformatics, Computational Physics, or Math Majors, Computer Science Minors, and Data Intesive Computing Certificate students only Data Structures Please see the Undergraduate Catalog for more information on this requirement. Scientific Literacy 1 Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	CSE 341 CSE 341LR Computer Organization Lecture Basic hardware and software issues of computer organization. Topics include computer abstractions and technology, performance evaluation, instruction set architecture, arithmetic logic unit design, advanced computer arithmetic, datapath and control unit design, pipelining, memory hierarchy, input-output. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: EE 178 or CSE 241 or CSE 220 Computer Science, Computer Engineering, Electrical Engineering, or Bioinformatics majors only Computer Organization Please see the Undergraduate Catalog for more information on this requirement. Probability/Statistics Please see the Undergraduate Catalog for more information on this requirement. Scientific Literacy 2 Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	CSE 396LR Intro Theory of Computatn Lecture Covers machine models and formal specifications of the classes of computational problems they can solve. The central concepts are the Turing machine and the classes of decidable and computably enumerable languages. The Halting Problem and other natural problems are shown to be undecidable by Turing machines, implying that they are undecidable by high-level programming languages or any other known computational model. Finite automata, which are Turing machines without external memory, are shown to correspond to the class of regular languages. The course also covers regular expressions, time and space complexity of Turing machines, reducibility between problems, and NP-completeness. Category: Theory. Credit: 4 Grading: Graded (GRD) Typically Offered: Spring Other Requisites: Pre-Requisite: CSE 191 or MTH311 and CSE 250, and MTH142 or MTH 139. Computer Science, Computer Engineering, or Bioinformatics majors only. Students must complete a mandatory advisement session with their faculty advisor. CSE 331LR Algo and Complexity Lecture Introduces paradigms for designing algorithms and fundamental limitations to what algorithms can do. Covers basic algorithm design paradigms of greedy algorithms, divide and conquer algorithms and dynamic programming, as well as a selection of advanced algorithmic topics, such as randomized algorithms, algorithms for distributed systems and basic algorithms for machine learning. Topics related to limitations of algorithms include NP-completeness and undecidability. Coverage includes analyzing algorithms via proofs and programming assignments to implement algorithms. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: Pre-Requisite: MTH 142 or MTH139 or MTH 122, and CSE 250 and (CSE 191 or MTH 311). Computer Science, Computer Engineering, or Bioinformatics majors only. CSE 321LR Realtime Embed Systems Lecture Addresses some of the fundamental challenges in the design, implementation, and validation of these real-time and embedded systems. Topics include resource management, concurrency, secure coding practices, memory management, timeline design and analysis using metrics and schedulability tests, hardware interfacing, device driver programming, memory maps and boot kernels, firmware and ROM-resident system code, communications and networking, and debugging live systems. These concepts will be reinforced through C programming assignments using the RTLinux operating system. Category: Software Systems. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall Other Requisites: Pre-Requisite: CSE 220 Co-Requisite: CSE 250 Computer Science, Computer Engineering, or Bioinformatics majors only. CSE 305LR Programming Languages Lecture Examines concepts and constructs found in programming languages. Topics include binding time, strong typing, control and data abstraction, higher-order functions, and polymorphism. The major programming paradigms (procedural, object-oriented, functional, and logic) will be studied and compared. The course will also provide an introduction to syntax and semantics, compilation vs. interpretation, and storage management. Category: Software Systems. Credit: 4 Grading: Graded (GRD) Typically Offered: Spring, Summer Other Requisites: Pre-Requisite: CSE 250 and Computer Science, Computer Engineering, Computational Physics or Bioinformatics majors only. CSE Restricted Elective Please see the Undergraduate Catalog for more information on this requirement. External Concentration 200+ Level EAS 360 EAS 360LEC STEM Communications Lecture Prepares students to successfully communicate, across a range of professional genres and media, to technical, professional, and public audiences; to produce communications individually and as part of a team; and to produce communications which are consistent with ethical engineering practice. Credit: 3 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-requisite: Completion of Communication Literacy 1; Must be a SEAS Major and a UB Curriculum Student. First year students are not permitted to enroll in this course. STEM Communications Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	Please see the Undergraduate Catalog for more information on this requirement. CSE 300+ Level Elective Please see the Undergraduate Catalog for more information on this requirement. CSE 300+ Level Elective Please see the Undergraduate Catalog for more information on this requirement. External Concentration 200+ Level Please see the Undergraduate Catalog for information on required free electives. Free Elective	Please see the Undergraduate Catalog for more information on this requirement. CSE 400 Level Elective Please see the Undergraduate Catalog for more information on this requirement. External Concentration 300+ Level Please see the Undergraduate Catalog for more information on this requirement. External Concentration 300+ Level Please see the Undergraduate Catalog for more information on this requirement. 300+ Level General Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective	Please see the Undergraduate Catalog for more information on this requirement. CSE 400 Level Elective Please see the Undergraduate Catalog for more information on this requirement. CSE 400 Level Elective Please see the Undergraduate Catalog for more information on this requirement. External Concentration 300+ Level UBC 399 UBC 399MNT UB Curriculum Capstone Mentored Individual Learning UB Curriculum Capstone (UBC 399) is the culminating general education requirement. It is a one-credit course in which you will work in UBPortfolio, with the support of your Capstone instructor, to create a reflective and integrative Capstone ePortfolio based on your UB Curriculum coursework and lived experiences outside of the classroom. All UB Curriculum courses must be completed or in-progress to enroll in and complete UBC 399. Students who drop an in-progress course will be removed from UBC 399 through the add/drop period. Students who resign an in-progress course may not be able to successfully complete the Capstone. Credit: 1 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: All UB Curriculum courses must be completed or in-progress to enroll in and complete UBC 399. If you enrolled today in your remaining UBC course(s), HUB will allow you to enroll tomorrow. For questions, email: ubcurriculum@buffalo.edu. UB Capstone Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective
15 Hours	15 Hours	15 Hours	11 Hours	13 Hours	14 Hours	16 Hours	18 Hours

General Notes:

Within the flowsheet presented above, students are expected to satisfy four of the five UB Areas and the Diversity Learning requirement via the four Thematic/Global pathway courses shown. List 3 Thematic and Global pathway courses are expected to be completed within the major. Please see the pathways website for more information.

STA 301 and MTH 411 are equivalent courses. Students cannot earn credit for both STA 301 and MTH 411.

Effective Fall 2019, CSE 400 level classes except CSE 442 and CSE 493 will be 3 credits.

Course Specific Notes:

CSE 241 will no longer be offered in Fall after the Fall 2018 semester.

Probability/Statistics: Select from EAS 305, MGQ 301, MTH 411, STA 111, STA 119, STA 301

CSE Restricted Elective: Select from CSE 305, CSE 321, CSE 331, CSE 396

Place the mouse over a course to highlight the
course prerequisite sequence
course prerequisites
course corequisite sequence
course corequisites
course post-corequisites
postrequisite course sequence

Please refer to the undergraduate catalog for course options and further details about options and possible requisites for elective courses.

Click any course to view a course description and course schedules in the Undergraduate Catalog

These online flowsheets have been prepared to assist you in determining the standard course flow for each major. While efforts have been made to ensure their accuracy, final responsibility for meeting graduation requirements resides with you. Using this tool does not take the place of meeting with your academic advisor.

Freshmen Flowsheet for Computer Science BA
(Effective AY 2016-17 to AY 2017-18)

First Year		Second Year		Third Year		Fourth Year
Fall	Spring	Fall	Spring	Fall	Spring	Fall	Spring
MTH 121 or MTH 131 or MTH 141 Calculus 1 CSE 115 Computer Science 1 CSE 199 First-Year Seminar ENG 105 Communication Literacy 1	MTH 122 or MTH 142 Calculus 2 CSE 116 Computer Science 2 CSE 191 Discrete Structures Thematic or Global Pathway Course	CSE 241 Digital Systems CSE 250 Data Structures Scientific Literacy 1 Thematic or Global Pathway Course	CSE 341 Computer Organization Probability/Statistics Scientific Literacy 2 Thematic or Global Pathway Course	CSE Restricted Elective External Concentration 200+ Level EAS 360 STEM Communications Thematic or Global Pathway Course	CSE 300+ Level Elective CSE 300+ Level Elective External Concentration 200+ Level Free Elective	CSE 400 Level Elective External Concentration 300+ Level External Concentration 300+ Level 300+ Level General Elective Free Elective	CSE 400 Level Elective CSE 400 Level Elective External Concentration 300+ Level UBC 399 UB Capstone Free Elective Free Elective
15 Hours	15 Hours	15 Hours	11 Hours	13 Hours	14 Hours	16 Hours	18 Hours

General Notes:

STA 301 and MTH 411 are equivalent courses. Students cannot earn credit for both STA 301 and MTH 411.

Effective Fall 2019, CSE 400 level classes except CSE 442 and CSE 493 will be 3 credits.

Course Specific Notes:

CSE 241 will no longer be offered in Fall after the Fall 2018 semester.

Probability/Statistics: Select from EAS 305, MGQ 301, MTH 411, STA 111, STA 119, STA 301

CSE Restricted Elective: Select from CSE 305, CSE 321, CSE 331, CSE 396

Place the mouse over a course to highlight the
course prerequisite sequence
course prerequisites
course corequisite sequence
course corequisites
course post-corequisites
postrequisite course sequence

Please refer to the undergraduate catalog for course options and further details about options and possible requisites for elective courses.

Click any course to view a course description and course schedules in the Undergraduate Catalog

Transfer Flowsheet for Computer Science BA
(Effective AY 2016-17 to AY 2017-18)

First Year		Second Year		Third Year		Fourth Year
Fall	Spring	Fall	Spring	Fall	Spring	Fall	Spring
MTH 121 or MTH 131 or MTH 141 MTH 121LR Surv Calculus & Appl 1 Lecture For students in social, biological, and management sciences. Limits, continuity, differentiation of algebraic and exponential functions; applications; introduces integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req: 70/100 or better on both Fundamentals & Algebra parts of the Math Readiness Assessment, or C or better in ULC148, MTH 108, MTH 113, MTH 114 MTH 115, a D or better in MTH 121, MTH 131, or MTH 141 or 3 on AP Calculus or 4 or 5 on AP Pre-Calculus. MTH 131LR Math Analysis for Managemt Lecture For students in Management. Limits, continuity, differentiation of algebraic and exponential functions. Applications, partial derivatives and applications. Introduces integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req: 70/100 or better on both Fundamentals & Algebra parts of the Math Readiness Assessment, or C or better in ULC148, MTH 108, MTH 113, MTH 114 MTH 115, a D or better in MTH 121, MTH 131, or MTH 141 or 3 on AP Calculus or 4 or 5 on AP Pre-Calculus. MTH 141LR College Calculus 1 Lecture Beginning of a three-semester sequence in calculus for students of mathematics, natural sciences, and engineering. Covers differentiation and integration with applications. This course is the same as MTH 136 + 137 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req:70+ all parts of MRA, or C or better in ULC148, MTH108, 114, 115, 121, 131, D or better in MTH141, 3 on AP Calc or 4-5 on AP Pre-Calc or concurrent reg in MTH109 with C or better in MTH113 or MRA scores 70+ Math Fund AND Alg and 50-69 in Trig Calculus 1 CSE 115 CSE 115LLR Computer Science I Lecture Provides the fundamentals of computer science with an emphasis on applying programming skills to solve problems and increase human efficiency. Topics include variables, data types, expressions, control flow, functions, input/output, data storage, networking, security, selection, sorting, iteration and the use of aggregate data structures such as lists and more general collections. No previous programming experience required. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Computer Science 1 Please see the Undergraduate Catalog for more information on this requirement. 100-level Technical Elective ENG 105 ENG 105LEC Writing and Rhetoric Lecture An introduction to research, writing, and rhetorical practices employed in academic and professional contexts. The course examines the operation of genres, the audiences they address, and the purposes they serve. The course focuses on the analysis and development of student writing and rhetorical practice. Assignments include research essays, digital compositions, and oral presentations. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: ENG 105 non-Z Requisite Communication Literacy 1	MTH 122 or MTH 142 MTH 122LR Surv Calculus & Appl 2 Lecture Continuation of MTH 121. Maximization of functions of several variables using both calculus and elementary linear programming techniques. Elementary integration, simple differential equations, matrix algebra. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Requisite: MTH 121 or MTH 141 or MTH 136 and MTH 137. MTH 142LR College Calculus 2 Lecture Differentiation and integration of transcendental functions; infinite sequences; series and power series; integration methods; additional topics in analytic geometry.. This course is the same as MTH 138 and MTH 139 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Requisite: MTH 141 or MTH 136 with MTH 137 as a co-requisite; Anti-Requisite MTH 138/139. Calculus 2 CSE 116 CSE 116LLB Computer Science II Lecture Students will continue to develop the skills introduced in CSE115 while exploring the details of program execution and the structure of large programs. Emphasizes design decisions that affect the efficiency, expandability, and maintainability of code while analyzing the differences amongst a variety of approaches. Design decisions analyzed include choice of data structures and object-oriented techniques such as encapsulation, polymorphism, and inheritance. Additional topics include the use of recursion, multithreading, parallelism, hardware, graph and tree traversals, asymptotic analysis, divide and conquer, databases, testing, and multi-language integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 115 or EAS 230 or EAS 240 or EAS 999TRCP. Computer Science 2 CSE 191 CSE 191LR Intro Discrete Structures Lecture Foundational material for further studies in computer science. Topics include logic, proofs, sets, functions, relations, recursion, recurrence relations, mathematical induction, graphs, trees, basic counting theory, regular languages, and context free grammars. This course is the same as MTH 191 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 115 or EAS 230 or EAS 240 or EAS 999TRCP, and Pre-calculus (MTH 115 or ULC 148 or MTH 113 or MTH 114) or appropriate math placement test scores or Co-Requisite of Calculus 1 (MTH 121 or MTH 131 or MTH 141, or MTH 136 or MTH 108). Discrete Structures Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	CSE 250 CSE 250LR Data Structures Lecture Provides a rigorous analysis of the design, implementation, and properties of advanced data structures. Topics include time-space analysis and tradeoffs in arrays, vectors, lists, stacks, queues, and heaps; tree and graph algorithms and traversals, hashing, sorting, and data structures on secondary storage. Surveys library implementations of basic data structures in a high-level language. Advanced data structure implementations are studied in detail. Illustrates the importance of choosing appropriate data structures when solving a problem by programming projects in a high-level language. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 116 and (CSE 191 or MTH 311) and (MTH 141 or MTH 131 or MTH 121 or MTH 137). Engineering, Bioinformatics, Computational Physics, or Math Majors, Computer Science Minors, and Data Intesive Computing Certificate students only Data Structures Please see the Undergraduate Catalog for more information on this requirement. Scientific Literacy 1 Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	CSE 341 CSE 341LR Computer Organization Lecture Basic hardware and software issues of computer organization. Topics include computer abstractions and technology, performance evaluation, instruction set architecture, arithmetic logic unit design, advanced computer arithmetic, datapath and control unit design, pipelining, memory hierarchy, input-output. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: EE 178 or CSE 241 or CSE 220 Computer Science, Computer Engineering, Electrical Engineering, or Bioinformatics majors only Computer Organization Please see the Undergraduate Catalog for more information on this requirement. Probability/Statistics Please see the Undergraduate Catalog for more information on this requirement. Scientific Literacy 2 Please see SEAS Advisement Recommendations for information on the Thematic and Global Pathways. Thematic or Global Pathway Course	CSE 241 CSE 241LLB Digital Systems Lecture A course in digital principles which includes the following topics: fundamentals of digital logic, number systems, codes, computer arithmetic, Boolean algebra, minimization techniques, basic components of digital circuits such as logic gates and flip-flops, design of combinational and sequential circuits, memory devices, and programming logic. Recommended for sophomore-level students. Credit: 4 Grading: Graded (GRD) Typically Offered: Spring, Summer Other Requisites: Pre-Requisites: Engineering Majors, Computer Science Minors, or Computing and Applied Math Majors only Digital Systems CSE 396LR Intro Theory of Computatn Lecture Covers machine models and formal specifications of the classes of computational problems they can solve. The central concepts are the Turing machine and the classes of decidable and computably enumerable languages. The Halting Problem and other natural problems are shown to be undecidable by Turing machines, implying that they are undecidable by high-level programming languages or any other known computational model. Finite automata, which are Turing machines without external memory, are shown to correspond to the class of regular languages. The course also covers regular expressions, time and space complexity of Turing machines, reducibility between problems, and NP-completeness. Category: Theory. Credit: 4 Grading: Graded (GRD) Typically Offered: Spring Other Requisites: Pre-Requisite: CSE 191 or MTH311 and CSE 250, and MTH142 or MTH 139. Computer Science, Computer Engineering, or Bioinformatics majors only. Students must complete a mandatory advisement session with their faculty advisor. CSE 331LR Algo and Complexity Lecture Introduces paradigms for designing algorithms and fundamental limitations to what algorithms can do. Covers basic algorithm design paradigms of greedy algorithms, divide and conquer algorithms and dynamic programming, as well as a selection of advanced algorithmic topics, such as randomized algorithms, algorithms for distributed systems and basic algorithms for machine learning. Topics related to limitations of algorithms include NP-completeness and undecidability. Coverage includes analyzing algorithms via proofs and programming assignments to implement algorithms. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: Pre-Requisite: MTH 142 or MTH139 or MTH 122, and CSE 250 and (CSE 191 or MTH 311). Computer Science, Computer Engineering, or Bioinformatics majors only. CSE 321LR Realtime Embed Systems Lecture Addresses some of the fundamental challenges in the design, implementation, and validation of these real-time and embedded systems. Topics include resource management, concurrency, secure coding practices, memory management, timeline design and analysis using metrics and schedulability tests, hardware interfacing, device driver programming, memory maps and boot kernels, firmware and ROM-resident system code, communications and networking, and debugging live systems. These concepts will be reinforced through C programming assignments using the RTLinux operating system. Category: Software Systems. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall Other Requisites: Pre-Requisite: CSE 220 Co-Requisite: CSE 250 Computer Science, Computer Engineering, or Bioinformatics majors only. CSE 305LR Programming Languages Lecture Examines concepts and constructs found in programming languages. Topics include binding time, strong typing, control and data abstraction, higher-order functions, and polymorphism. The major programming paradigms (procedural, object-oriented, functional, and logic) will be studied and compared. The course will also provide an introduction to syntax and semantics, compilation vs. interpretation, and storage management. Category: Software Systems. Credit: 4 Grading: Graded (GRD) Typically Offered: Spring, Summer Other Requisites: Pre-Requisite: CSE 250 and Computer Science, Computer Engineering, Computational Physics or Bioinformatics majors only. CSE Restricted Elective Please see the Undergraduate Catalog for more information on this requirement. External Concentration 200+ Level EAS 360 EAS 360LEC STEM Communications Lecture Prepares students to successfully communicate, across a range of professional genres and media, to technical, professional, and public audiences; to produce communications individually and as part of a team; and to produce communications which are consistent with ethical engineering practice. Credit: 3 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-requisite: Completion of Communication Literacy 1; Must be a SEAS Major and a UB Curriculum Student. First year students are not permitted to enroll in this course. STEM Communications EAS 198 EAS 198SEM UB Seminar Seminar The one credit UB Seminar is focused on a big idea or challenging issue to engage students with questions of significance in a field of study and, ultimately, to connect their studies with issues of consequence in the wider world. Essential to the UB Curriculum, the Seminar helps transition to UB through an early connection to UB faculty and the undergraduate experience at a comprehensive, research university. This course is equivalent to any 198 offered in any subject. Credit: 1 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: First semester transfer students upon matriculation to UB will be allowed to take EAS 198 instead of EAS 199. UB Transfer Seminar Please see the Undergraduate Catalog for information on required free electives. Free Elective	Please see the Undergraduate Catalog for more information on this requirement. CSE 300+ Level Elective Please see the Undergraduate Catalog for more information on this requirement. CSE 300+ Level Elective Please see the Undergraduate Catalog for more information on this requirement. External Concentration 200+ Level Please see the Undergraduate Catalog for information on required free electives. Free Elective	Please see the Undergraduate Catalog for more information on this requirement. CSE 400 Level Elective Please see the Undergraduate Catalog for more information on this requirement. External Concentration 300+ Level Please see the Undergraduate Catalog for more information on this requirement. External Concentration 300+ Level Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective	Please see the Undergraduate Catalog for more information on this requirement. CSE 400 Level Elective Please see the Undergraduate Catalog for more information on this requirement. CSE 400 Level Elective Please see the Undergraduate Catalog for more information on this requirement. External Concentration 300+ Level Please see the Undergraduate Catalog for more information on this requirement. 300+ Level General Elective UBC 399 UBC 399MNT UB Curriculum Capstone Mentored Individual Learning UB Curriculum Capstone (UBC 399) is the culminating general education requirement. It is a one-credit course in which you will work in UBPortfolio, with the support of your Capstone instructor, to create a reflective and integrative Capstone ePortfolio based on your UB Curriculum coursework and lived experiences outside of the classroom. All UB Curriculum courses must be completed or in-progress to enroll in and complete UBC 399. Students who drop an in-progress course will be removed from UBC 399 through the add/drop period. Students who resign an in-progress course may not be able to successfully complete the Capstone. Credit: 1 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: All UB Curriculum courses must be completed or in-progress to enroll in and complete UBC 399. If you enrolled today in your remaining UBC course(s), HUB will allow you to enroll tomorrow. For questions, email: ubcurriculum@buffalo.edu. UB Capstone
15 Hours	15 Hours	11 Hours	14 Hours	18 Hours	14 Hours	16 Hours	15 Hours

General Notes:

Transfer students are encouraged to complete a minimum of 60 credit hours during the first two years of study. We recommend that they complete a Digital Systems course (equivalent to UB's CSE 241) in the first two years of study.

STA 301 and MTH 411 are equivalent courses. Students cannot earn credit for both STA 301 and MTH 411.

Effective Fall 2019, CSE 400 level classes except CSE 442 and CSE 493 will be 3 credits.

Course Specific Notes:

Probability/Statistics: Select from EAS 305, MGQ 301, MTH 411, STA 111, STA 119, STA 301

CSE 241 will no longer be offered in Fall after the Fall 2018 semester.

CSE Restricted Elective: Select from CSE 305, CSE 321, CSE 331, CSE 396

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course prerequisites
course corequisite sequence
course corequisites
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postrequisite course sequence

Please refer to the undergraduate catalog for course options and further details about options and possible requisites for elective courses.

Click any course to view a course description and course schedules in the Undergraduate Catalog

Seamless Transfer Flowsheet for Computer Science BA
(Effective AY 2016-17 to AY 2017-18)

Third Year		Fourth Year
Fall	Spring	Fall	Spring
Please see the Undergraduate Catalog for information on required free electives. Free Elective EAS 198 EAS 198SEM UB Seminar Seminar The one credit UB Seminar is focused on a big idea or challenging issue to engage students with questions of significance in a field of study and, ultimately, to connect their studies with issues of consequence in the wider world. Essential to the UB Curriculum, the Seminar helps transition to UB through an early connection to UB faculty and the undergraduate experience at a comprehensive, research university. This course is equivalent to any 198 offered in any subject. Credit: 1 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: First semester transfer students upon matriculation to UB will be allowed to take EAS 198 instead of EAS 199. UB Transfer Seminar CSE 241 CSE 241LLB Digital Systems Lecture A course in digital principles which includes the following topics: fundamentals of digital logic, number systems, codes, computer arithmetic, Boolean algebra, minimization techniques, basic components of digital circuits such as logic gates and flip-flops, design of combinational and sequential circuits, memory devices, and programming logic. Recommended for sophomore-level students. Credit: 4 Grading: Graded (GRD) Typically Offered: Spring, Summer Other Requisites: Pre-Requisites: Engineering Majors, Computer Science Minors, or Computing and Applied Math Majors only Digital Systems EAS 360 EAS 360LEC STEM Communications Lecture Prepares students to successfully communicate, across a range of professional genres and media, to technical, professional, and public audiences; to produce communications individually and as part of a team; and to produce communications which are consistent with ethical engineering practice. Credit: 3 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-requisite: Completion of Communication Literacy 1; Must be a SEAS Major and a UB Curriculum Student. First year students are not permitted to enroll in this course. STEM Communications Please see the Undergraduate Catalog for more information on this requirement. External Concentration 200+ Level CSE 396LR Intro Theory of Computatn Lecture Covers machine models and formal specifications of the classes of computational problems they can solve. The central concepts are the Turing machine and the classes of decidable and computably enumerable languages. The Halting Problem and other natural problems are shown to be undecidable by Turing machines, implying that they are undecidable by high-level programming languages or any other known computational model. Finite automata, which are Turing machines without external memory, are shown to correspond to the class of regular languages. The course also covers regular expressions, time and space complexity of Turing machines, reducibility between problems, and NP-completeness. Category: Theory. Credit: 4 Grading: Graded (GRD) Typically Offered: Spring Other Requisites: Pre-Requisite: CSE 191 or MTH311 and CSE 250, and MTH142 or MTH 139. Computer Science, Computer Engineering, or Bioinformatics majors only. Students must complete a mandatory advisement session with their faculty advisor. CSE 331LR Algo and Complexity Lecture Introduces paradigms for designing algorithms and fundamental limitations to what algorithms can do. Covers basic algorithm design paradigms of greedy algorithms, divide and conquer algorithms and dynamic programming, as well as a selection of advanced algorithmic topics, such as randomized algorithms, algorithms for distributed systems and basic algorithms for machine learning. Topics related to limitations of algorithms include NP-completeness and undecidability. Coverage includes analyzing algorithms via proofs and programming assignments to implement algorithms. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: Pre-Requisite: MTH 142 or MTH139 or MTH 122, and CSE 250 and (CSE 191 or MTH 311). Computer Science, Computer Engineering, or Bioinformatics majors only. CSE 321LR Realtime Embed Systems Lecture Addresses some of the fundamental challenges in the design, implementation, and validation of these real-time and embedded systems. Topics include resource management, concurrency, secure coding practices, memory management, timeline design and analysis using metrics and schedulability tests, hardware interfacing, device driver programming, memory maps and boot kernels, firmware and ROM-resident system code, communications and networking, and debugging live systems. These concepts will be reinforced through C programming assignments using the RTLinux operating system. Category: Software Systems. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall Other Requisites: Pre-Requisite: CSE 220 Co-Requisite: CSE 250 Computer Science, Computer Engineering, or Bioinformatics majors only. CSE 305LR Programming Languages Lecture Examines concepts and constructs found in programming languages. Topics include binding time, strong typing, control and data abstraction, higher-order functions, and polymorphism. The major programming paradigms (procedural, object-oriented, functional, and logic) will be studied and compared. The course will also provide an introduction to syntax and semantics, compilation vs. interpretation, and storage management. Category: Software Systems. Credit: 4 Grading: Graded (GRD) Typically Offered: Spring, Summer Other Requisites: Pre-Requisite: CSE 250 and Computer Science, Computer Engineering, Computational Physics or Bioinformatics majors only. CSE Restricted Elective	Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for more information on this requirement. External Concentration 200+ Level Please see the Undergraduate Catalog for more information on this requirement. CSE 300+ Level Elective Please see the Undergraduate Catalog for more information on this requirement. CSE 300+ Level Elective	Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for information on required free electives. Free Elective Please see the Undergraduate Catalog for more information on this requirement. External Concentration 300+ Level Please see the Undergraduate Catalog for more information on this requirement. External Concentration 300+ Level Please see the Undergraduate Catalog for more information on this requirement. CSE 400 Level Elective	Please see the Undergraduate Catalog for more information on this requirement. CSE 400 Level Elective UBC 399 UBC 399MNT UB Curriculum Capstone Mentored Individual Learning UB Curriculum Capstone (UBC 399) is the culminating general education requirement. It is a one-credit course in which you will work in UBPortfolio, with the support of your Capstone instructor, to create a reflective and integrative Capstone ePortfolio based on your UB Curriculum coursework and lived experiences outside of the classroom. All UB Curriculum courses must be completed or in-progress to enroll in and complete UBC 399. Students who drop an in-progress course will be removed from UBC 399 through the add/drop period. Students who resign an in-progress course may not be able to successfully complete the Capstone. Credit: 1 Grading: Graded (GRD) Typically Offered: Fall, Spring Other Requisites: All UB Curriculum courses must be completed or in-progress to enroll in and complete UBC 399. If you enrolled today in your remaining UBC course(s), HUB will allow you to enroll tomorrow. For questions, email: ubcurriculum@buffalo.edu. UB Capstone Please see the Undergraduate Catalog for more information on this requirement. 300+ Level General Elective Please see the Undergraduate Catalog for more information on this requirement. External Concentration 300+ Level Please see the Undergraduate Catalog for more information on this requirement. CSE 400 Level Elective
18 Hours	14 Hours	16 Hours	15 Hours

Computer Science Core Requirements
CSE 115LLR Computer Science I Lecture Provides the fundamentals of computer science with an emphasis on applying programming skills to solve problems and increase human efficiency. Topics include variables, data types, expressions, control flow, functions, input/output, data storage, networking, security, selection, sorting, iteration and the use of aggregate data structures such as lists and more general collections. No previous programming experience required. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: CSE 115 Computer Science 1 MTH 121LR Surv Calculus & Appl 1 Lecture For students in social, biological, and management sciences. Limits, continuity, differentiation of algebraic and exponential functions; applications; introduces integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req: 70/100 or better on both Fundamentals & Algebra parts of the Math Readiness Assessment, or C or better in ULC148, MTH 108, MTH 113, MTH 114 MTH 115, a D or better in MTH 121, MTH 131, or MTH 141 or 3 on AP Calculus or 4 or 5 on AP Pre-Calculus. MTH 121 or MTH 121LR Surv Calculus & Appl 1 Lecture For students in social, biological, and management sciences. Limits, continuity, differentiation of algebraic and exponential functions; applications; introduces integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req: 70/100 or better on both Fundamentals & Algebra parts of the Math Readiness Assessment, or C or better in ULC148, MTH 108, MTH 113, MTH 114 MTH 115, a D or better in MTH 121, MTH 131, or MTH 141 or 3 on AP Calculus or 4 or 5 on AP Pre-Calculus. MTH 131LR Math Analysis for Managemt Lecture For students in Management. Limits, continuity, differentiation of algebraic and exponential functions. Applications, partial derivatives and applications. Introduces integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req: 70/100 or better on both Fundamentals & Algebra parts of the Math Readiness Assessment, or C or better in ULC148, MTH 108, MTH 113, MTH 114 MTH 115, a D or better in MTH 121, MTH 131, or MTH 141 or 3 on AP Calculus or 4 or 5 on AP Pre-Calculus. MTH 131 or MTH 121LR Surv Calculus & Appl 1 Lecture For students in social, biological, and management sciences. Limits, continuity, differentiation of algebraic and exponential functions; applications; introduces integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req: 70/100 or better on both Fundamentals & Algebra parts of the Math Readiness Assessment, or C or better in ULC148, MTH 108, MTH 113, MTH 114 MTH 115, a D or better in MTH 121, MTH 131, or MTH 141 or 3 on AP Calculus or 4 or 5 on AP Pre-Calculus. MTH 131LR Math Analysis for Managemt Lecture For students in Management. Limits, continuity, differentiation of algebraic and exponential functions. Applications, partial derivatives and applications. Introduces integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req: 70/100 or better on both Fundamentals & Algebra parts of the Math Readiness Assessment, or C or better in ULC148, MTH 108, MTH 113, MTH 114 MTH 115, a D or better in MTH 121, MTH 131, or MTH 141 or 3 on AP Calculus or 4 or 5 on AP Pre-Calculus. MTH 141LR College Calculus 1 Lecture Beginning of a three-semester sequence in calculus for students of mathematics, natural sciences, and engineering. Covers differentiation and integration with applications. This course is the same as MTH 136 + 137 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Req:70+ all parts of MRA, or C or better in ULC148, MTH108, 114, 115, 121, 131, D or better in MTH141, 3 on AP Calc or 4-5 on AP Pre-Calc or concurrent reg in MTH109 with C or better in MTH113 or MRA scores 70+ Math Fund AND Alg and 50-69 in Trig MTH 141 Calculus 1	CSE 116LLB Computer Science II Lecture Students will continue to develop the skills introduced in CSE115 while exploring the details of program execution and the structure of large programs. Emphasizes design decisions that affect the efficiency, expandability, and maintainability of code while analyzing the differences amongst a variety of approaches. Design decisions analyzed include choice of data structures and object-oriented techniques such as encapsulation, polymorphism, and inheritance. Additional topics include the use of recursion, multithreading, parallelism, hardware, graph and tree traversals, asymptotic analysis, divide and conquer, databases, testing, and multi-language integration. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 115 or EAS 230 or EAS 240 or EAS 999TRCP. CSE 116 Computer Science 2 CSE 191LR Intro Discrete Structures Lecture Foundational material for further studies in computer science. Topics include logic, proofs, sets, functions, relations, recursion, recurrence relations, mathematical induction, graphs, trees, basic counting theory, regular languages, and context free grammars. This course is the same as MTH 191 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 115 or EAS 230 or EAS 240 or EAS 999TRCP, and Pre-calculus (MTH 115 or ULC 148 or MTH 113 or MTH 114) or appropriate math placement test scores or Co-Requisite of Calculus 1 (MTH 121 or MTH 131 or MTH 141, or MTH 136 or MTH 108). CSE 191 Discrete Structures	CSE 250LR Data Structures Lecture Provides a rigorous analysis of the design, implementation, and properties of advanced data structures. Topics include time-space analysis and tradeoffs in arrays, vectors, lists, stacks, queues, and heaps; tree and graph algorithms and traversals, hashing, sorting, and data structures on secondary storage. Surveys library implementations of basic data structures in a high-level language. Advanced data structure implementations are studied in detail. Illustrates the importance of choosing appropriate data structures when solving a problem by programming projects in a high-level language. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: CSE 116 and (CSE 191 or MTH 311) and (MTH 141 or MTH 131 or MTH 121 or MTH 137). Engineering, Bioinformatics, Computational Physics, or Math Majors, Computer Science Minors, and Data Intesive Computing Certificate students only CSE 250 Data Structures	CSE 341LR Computer Organization Lecture Basic hardware and software issues of computer organization. Topics include computer abstractions and technology, performance evaluation, instruction set architecture, arithmetic logic unit design, advanced computer arithmetic, datapath and control unit design, pipelining, memory hierarchy, input-output. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: Pre-Requisite: EE 178 or CSE 241 or CSE 220 Computer Science, Computer Engineering, Electrical Engineering, or Bioinformatics majors only CSE 341 Computer Organization

Mathematics Requirements
MTH 122LR Surv Calculus & Appl 2 Lecture Continuation of MTH 121. Maximization of functions of several variables using both calculus and elementary linear programming techniques. Elementary integration, simple differential equations, matrix algebra. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Requisite: MTH 121 or MTH 141 or MTH 136 and MTH 137. MTH 122 or MTH 122LR Surv Calculus & Appl 2 Lecture Continuation of MTH 121. Maximization of functions of several variables using both calculus and elementary linear programming techniques. Elementary integration, simple differential equations, matrix algebra. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Requisite: MTH 121 or MTH 141 or MTH 136 and MTH 137. MTH 142LR College Calculus 2 Lecture Differentiation and integration of transcendental functions; infinite sequences; series and power series; integration methods; additional topics in analytic geometry.. This course is the same as MTH 138 and MTH 139 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer, Winter Other Requisites: Pre-Requisite: MTH 141 or MTH 136 with MTH 137 as a co-requisite; Anti-Requisite MTH 138/139. MTH 142 Calculus 2	See the Undergraduate Catalog for more information on this requirement. Probability/Statistics

Natural Science Requirements
See the Undergraduate Catalog for more information on this requirement. Scientific Literacy 1	See the Undergraduate Catalog for more information on this requirement. Scientific Literacy 2

General Education Requirements
ENG 105LEC Writing and Rhetoric Lecture An introduction to research, writing, and rhetorical practices employed in academic and professional contexts. The course examines the operation of genres, the audiences they address, and the purposes they serve. The course focuses on the analysis and development of student writing and rhetorical practice. Assignments include research essays, digital compositions, and oral presentations. Credit: 4 Grading: Graded (GRD) Typically Offered: Fall, Spring, Summer Other Requisites: ENG 105 non-Z Requisite ENG 105 Communication Literacy 1 Please see the SEAS Advisement Recommendations for information on Thematic and Global Pathways. Thematic or Global Pathway Course	Please see the SEAS Advisement Recommendations for information on Thematic and Global Pathways. Thematic or Global Pathway Course	Please see the SEAS Advisement Recommendations for information on Thematic and Global Pathways. Thematic or Global Pathway Course	Please see the SEAS Advisement Recommendations for information on Thematic and Global Pathways. Thematic or Global Pathway Course

General Notes:

STA 301 and MTH 411 are equivalent courses. Students cannot earn credit for both STA 301 and MTH 411.

Effective Fall 2019, CSE 400 level classes except CSE 442 and CSE 493 will be 3 credits.

Course Specific Notes:

Probability/Statistics: Select from EAS 305, MGQ 301, MTH 411, STA 111, STA 119, STA 301

CSE 241 will no longer be offered in Fall after the Fall 2018 semester.

CSE Restricted Elective: Select from CSE 305, CSE 321, CSE 331, CSE 396

Place the mouse over a course to highlight the
course prerequisite sequence
course prerequisites
course corequisite sequence
course corequisites
course post-corequisites
postrequisite course sequence

Please refer to the undergraduate catalog for course options and further details about options and possible requisites for elective courses.

Click any course to view a course description and course schedules in the Undergraduate Catalog

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